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Anim Biosci > Volume 34(4); 2021 > Article
Animal Breeding and Genetics
Animal Bioscience 2021;34(4): 516-524.
DOI: https://doi.org/10.5713/ajas.19.0816    Published online April 12, 2020.
Genetic evaluation of sheep for resistance to gastrointestinal nematodes and body size including genomic information
Tatiana Saraiva Torres1,2  , Luciano Silva Sena1  , Gleyson Vieira dos Santos3  , Luiz Antonio Silva Figueiredo Filho4  , Bruna Lima Barbosa1  , Antônio de Sousa Júnior5  , Fábio Barros Britto6  , José Lindenberg Rocha Sarmento1,* 
1Department of Animal Science, Federal University of Piauí, Teresina, PI 64049-550, Brazil
2University Unity of Campos Belos, State University of Goiás (UEG), Campos Belos, GO 73840-000, Brazil
3Department of Animal Science, Federal University of Piauí, Bom Jesus, PI 64900-000, Brazil
4Federal Institute of Education, Science and Technology of Maranhão, Caxias, MA 65609-899, Brazil
5Technical College of Teresina, Federal University of Piauí, Teresina, PI 64049-550, Brazil
6Department of Biology, Federal University of Piauí, Teresina, PI 64049-550, Brazil
Correspondence:  José Lindenberg Rocha Sarmento, Tel: +55-89-9-9977-4911, Fax: +55-86-3215-5740, Email: sarmento@ufpi.edu.br
Received: 18 October 2019   • Revised: 5 February 2020   • Accepted: 29 March 2020
Abstract
Objective
The genetic evaluation of Santa Inês sheep was performed for resistance to gastrointestinal nematode infection (RGNI) and body size using different relationship matrices to assess the efficiency of including genomic information in the analyses.
Methods
There were 1,637 animals in the pedigree and 500, 980, and 980 records of RGNI, thoracic depth (TD), and rump height (RH), respectively. The genomic data consisted of 42,748 SNPs and 388 samples genotyped with the OvineSNP50 BeadChip. The (co)variance components were estimated in single- and multi-trait analyses using the numerator relationship matrix (A) and the hybrid matrix H, which blends A with the genomic relationship matrix (G). The BLUP and single-step genomic BLUP methods were used. The accuracies of estimated breeding values and Spearman rank correlation were also used to assess the feasibility of incorporating genomic information in the analyses.
Results
The heritability estimates ranged from 0.11±0.07, for TD (in single-trait analysis using the A matrix), to 0.38±0.08, for RH (using the H matrix in multi-trait analysis). The estimates of genetic correlation ranged from –0.65±0.31 to 0.59±0.19, using A, and from –0.42±0.30 to 0.57±0.16 using H. The gains in accuracy of estimated breeding values ranged from 2.22% to 75.00% with the inclusion of genomic information in the analyses.
Conclusion
The inclusion of genomic information will benefit the direct selection for the traits in this study, especially RGNI and TD. More information is necessary to improve the understanding on the genetic relationship between resistance to nematode infection and body size in Santa Inês sheep. The genetic evaluation for the evaluated traits was more efficient when genomic information was included in the analyses.
Keywords: Accuracy; Genetic Parameters; Rump Height; ssGBLUP; Worm Infection


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